Which sampling method divides the entire area into grids and collects samples at predetermined intervals, and is the most common statistical method?

Which sampling method divides the entire area into grids and collects samples at predetermined intervals, and is the most common statistical method?

• A. Simple random
• B. Systematic grid sampling
• C. Hot spot sampling
• D. Stratified random

Answer: (B)

Systematic grid sampling divides the study area into equal grid cells and collects samples at fixed, predetermined intervals across the grid. This approach creates uniform spatial coverage and a repeatable pattern, which makes data easy to compare over time and space. It’s widely used because it’s straightforward to implement and typically requires fewer samples than a full census while still providing representative coverage. It differs from simple random sampling, where locations are chosen at random and can be clustered or leave gaps; from hot spot sampling, which targets areas believed to have extreme values; and from stratified random sampling, which first divides the area into strata and then samples randomly within each stratum.

Systematic grid sampling divides the study area into equal grid cells and collects samples at fixed, predetermined intervals across the grid. This approach creates uniform spatial coverage and a repeatable pattern, which makes data easy to compare over time and space. It’s widely used because it’s straightforward to implement and typically requires fewer samples than a full census while still providing representative coverage. It differs from simple random sampling, where locations are chosen at random and can be clustered or leave gaps; from hot spot sampling, which targets areas believed to have extreme values; and from stratified random sampling, which first divides the area into strata and then samples randomly within each stratum.